Method and apparatus for processing stencil data using a programmable graphics processor

ABSTRACT

A graphics data-processing pipeline including a geometry processor and a fragment processor. The graphics data-processing pipeline being configured to render stencil data and to output the stencil data in a format compatible with input to the fragment processor. An output of the graphics data-processing pipeline is written to local memory and the output is subsequently read using the fragment processor without host processor intervening usage to format the stencil data or process the stencil data.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims benefit from commonly owned U.S. Provisional Patent Application No. 60/397,150 entitled “Systems and Methods of Multi-pass Data-processing,” filed Jul. 18, 2002. This application is also related to commonly owned U.S. Provisional Patent Application No. 60/397,247 entitled “Method and Apparatus for Using Multiple Data Formats in a Unified Graphics Memory,” filed Jul. 18, 2002. Both of the above referenced U.S. Provisional Patent Applications are incorporated herein by reference. This application is also related to commonly owned U.S. patent application Ser. No. 10/302,465 entitled “Programmable Graphics System and Method Using Flexible, High-Precision Data Formats,” filed Nov. 22, 2002, which is incorporated herein by reference.

BACKGROUND

1. Field of the Invention

The invention is in the field of data-processing and more specifically in the field of data-processing pipelines relating to graphics processing units.

2. Description of the Background

Current data-processing methods are exemplified by systems and methods developed for computer graphics. This specialized field processes data using a data-processing pipeline that performs a specific sequence of operations on the data and optionally sends its output for further processing. Efficiency is achieved by using dedicated hardware components, each configured to execute specific sequences of operations.

In computer graphics, multi-pass methods generally create image data, in a first pass, that are then used as input in a subsequent pass. For example, in the first pass an image may be rendered by a graphics data-processing pipeline and stored in a frame buffer as image data. The image data is then used, for example, as a texture map, in a subsequent pass, to generate new image data, which can then be used in another pass through the pipeline, producing new data in a frame buffer, and so on and so forth. The end result of the multi-pass process is a final image in a frame buffer for optional display to a user.

Reflection mapping is an example of a multi-pass process of the prior art. In a first pass through a graphics data-processing pipeline, an image is rendered using a viewpoint located at a position occupied by a reflective object in a scene. The rendering results in an intermediate red-green-blue (RGB) image that is stored in a frame buffer. In the second pass, the RGB image generated in the first pass is used as a reflection map, a particular type of texture map. In the second pass, the scene is rendered, and surface normals (normal vectors) of the reflective object, along with vectors from the viewpoint to each point on the reflective surface, are used to compute texture coordinates to index the reflection map to the surface of the reflective object. Hence, this example includes two passes, a first pass to generate a reflection map by rendering an image from a first vantage point; and a second pass to render the scene to produce a final image, using the reflection map to color (texture) the reflective object.

Shadow mapping is another multi-pass method of the prior art. In shadow mapping a depth-only image is first rendered from the vantage point of each light. The resulting image data is then used while rendering an entire scene from the view point of an observer. During the rendering of the scene, the depth-only images are conditionally used to include corresponding lights when computing a color value, including lighting, for each pixel or pixel fragment.

FIG. 1 is a block diagram illustrating a prior art General Computing System generally designated 100 and including a Host Computer 110 coupled through a bus disposed on a motherboard of Host Computer 110, such as an External Bus 115 to a Graphics Subsystem 120. Though a direct memory access (DMA) connection between Host Processor 114 and Interface 117 is illustratively shown, Graphics Subsystem 120 may be connected to Host Memory 112 via an input/output (I/O) hub or controller (not shown) as is known. Host Computer 110 is, for example, a personal computer, server, or computer game system, including a Host Processor 114. A Host Memory 112, included in Host Computer 110, is configured to store geometric data representative of one, two, three, or higher-dimensional objects. For example, host memory 112 may store x, y, z data representing locations of surface points in “object space.” These x, y, z data are often associated with u, v data relating each surface point to a color or texture map. Host memory 112 may also include information relating the relative positions of objects and a viewpoint in “world space.” In some instances Host Computer 110 is configured to tessellate the x, y, z, data to generate a vertex-based representation of primitives that represent a surface to be rendered.

Graphics Subsystem 120 receives data from Host Memory 112 through an Interface 117. The bandwidth of Interface 117 is limited by External Bus 115, which is typically a peripheral bus, e.g., accelerated graphics port (AGP) or peripheral component interface (PCI) coupled to Host Memory 112 of Host Computer 110. A Memory Controller 130 manages requests, initiated by hardware components of Graphics Subsystem 120, to read from or write to a Local Memory 135. Communication between Interface 117 and Memory Controller 130 is through an Internal Bus 145. Geometry Processor 140 is specifically designed to operate on the types of data received from Host Computer 110. For example, Memory Controller 130 receives vertex data via Interface 117 and writes this data to Local Memory 135. Subsequently, Memory Controller 130 receives a request from the Geometry Processor 140 to fetch data and transfers data read from Local Memory 135 to Geometry Processor 140. Alternatively, Geometry Processor 140 may receive data directly from Interface 117. In some prior art graphics subsystems (not shown), a DMA processor or command processor receives or reads data from Host Memory 112 or Local Memory 135, and in some prior art graphics subsystems (not shown) Graphics Subsystem 120 is integrated into an I/O hub or I/O controller, where graphics memory is shared with Host Memory 112 though some Local Memory 135 may be provided.

Geometry Processor 140 is configured to transform vertex data from an object-based coordinate representation (object space) to an alternatively based coordinate system such as world space or normalized device coordinates (NDC) space. Geometry Processor 140 also performs “setup” processes in which parameters, such as deltas and slopes, required to rasterize the vertex data are calculated. In some instances Geometry Processor 140 may receive higher-order surface data and tessellate this data to generate the vertex data.

The transformed vertex data is passed from Geometry Processor 140 to Rasterizer 150 wherein each planar primitive (e.g. triangle or quadrilateral) is rasterized to a list of axis-aligned and uniformly distributed grid elements (i.e. discretized) that cover the primitive. The grid elements are usually in NDC space and map onto a region of an array of pixels that represent the complete image to be rendered. Each element of the array covered by a grid element of the primitive is a fragment of the corresponding surface and is therefore referred to as fragment data. Each fragment data element includes associated data characterizing the surface (e.g. position in NDC, colors, texture coordinates, etc.).

An output of Rasterizer 150 is passed to a Texturer 155 and to a Shader 160 wherein the fragment data is modified. In one approach, modification is accomplished using a predefined lookup table stored in Local Memory 135. The lookup table may include several texture or shading maps accessed using texture coordinates as indices. An output of Shader 160 is processed using Raster Operation Unit 165, which receives the fragment data from Shader 160 and, if required, reads corresponding pixel data such as color and depth (z) in the current view for additional processing. Raster Operation Unit 165 is also configured to read stencil data for use in performing the above operations.

After performing the pixel operations involving color and z, Raster Operation Unit 165 writes the modified fragment data into Local Memory 135 through Memory Controller 130. The modified fragment data, written to Local Memory 135, is new or initial pixel data with respect to a first pass. The pixel data is stored subject to modification by one or more subsequent fragment data written to the same pixel (memory) location or delivery to a Display 175 via Scanout 180. Alternatively, pixel data within Local Memory 135 may be read, through Memory Controller 130, out through Interface 117. Using this approach, data in Local Memory 135 may be transferred back to Host Memory 112 for further manipulation. However, this transfer occurs through External Bus 115 and is therefore slow relative to data transfers within Graphics Subsystem 120. In some instances of the prior art, pixel data generated by Raster Operation Unit 165 may be read from Local Memory 135 back into Raster Operation Unit 165 or Texturer 155. However, in the prior art, data generated in the graphics data-processing pipeline (i.e. Geometry 140, Rasterizer 150, Texturer 155, Shader 160, and Raster Operation Unit 165) as output from Raster Operation Unit 165 was not accessible to Geometry Processor 140 without first being converted into a compatible format by Host Computer 110. Likewise, stencil data may not be read by Geometry Processor 140, Rasterizer 150, Texturer 155 or Shader 160, and once generated is only modified by Raster Operation Unit 165 or Host Computer 110.

FIG. 2 is a flow chart illustrating a prior art method of image rendering using the General Computing System 100 of FIG. 1. In a Receive Geometry Data Step 210 data is transferred from Host Memory 112 through Interface 117 to either Local Memory 135, under the control of Memory Controller 130, or directly to Geometry Processor 140. This transfer occurs through External Bus 115, which, in comparison to data busses within Graphics Subsystem 120, has lower bandwidth. In a Process Geometric Data Step 220, performed using Geometry Processor 140, surfaces within the transferred data are tessellated, if needed, to generate vertex data and then transformed. After transformation, primitive “setup” for rasterization is performed.

In a Rasterize Step 230 performed using Rasterizer 150 fragment data is generated from vertex-based data.

In a Process Fragments Step 240 the fragment data is textured and shaded using Texturer 155 and Shader 160. In a typical implementation, per-vertex colors and texture coordinates (among other per-vertex attributes) are bilinearly interpolated per fragment across the primitive to compute color and z (depth) values that are output to Raster Operation Unit 165.

In a Store Pixel Data Step 250 Raster Operation Unit 165 is used to map the fragment produced in the previous step onto a pixel in Local Memory 135, optionally operating on previously-stored data at that pixel location, and, finally, depending on the result of available tests (e.g., depth test, alpha test, stencil test) in the Raster Operation Unit 165, conditionally storing the fragment data into its corresponding pixel location in Local Memory 135. These available tests include retrieval and use of stencil data stored in Local Memory 135. Storage occurs by writing data through Internal Bus 170. The color data generated by Raster Operation Unit 165 is typically limited to match color depth of supported displays. Data from Local Memory 135 are transferred to a display device in a Display Step 260.

FIG. 3 is a flow chart illustrating an advanced method of image rendering known as reflection mapping. In this method pixel data is first rendered for a first scene and viewpoint. A scene consists of one or more objects. The first image is then used as a texture map for shading one or more objects in a second viewpoint of the scene. The final image shows a reflection of the first scene on the surface of the object in the second viewpoint of the scene. As shown in FIG. 3, steps 210 through 250 are performed in a manner similar to that described in relation to FIG. 2. In Store Pixel Data Step 250 the first scene pixel data is stored in a region of Local Memory 135 that can be read by Texturer 155. Instead of immediately being used in Display Step 260, the data stored in Store Pixel Data Step 250 is used in a second pass through the graphics data-processing pipeline. The second pass starts with a Receive Geometry Data Step 310 wherein geometry data representing an object in the second viewpoint of the scene is received from Host Computer 110. This data is processed using Geometry Processor 140 in Process Geometric Data Step 320 and transformed into second fragment data in a Rasterize Step 330.

In a Process Fragments Step 340, the second fragment data is shaded using the first pixel data stored in Store Pixel Data Step 260. This shading results in an image of the first scene on the surface of an object in the second viewpoint of the scene. The shaded second pixel data is stored in a Store Pixel Data Step 350 and optionally displayed in a Display Step 260.

Due to the specified dynamic range and precision of the numerical values (i.e. the formats) associated with data busses or graphics data processing elements within Graphics Subsystem 120, heretofore data had to be converted, if feasible, by Host Processor 114 of Host Computers 110 to facilitate date re-use. The limited processing capabilities of Raster Operation Unit 165 prevent significant processing of the stencil data at this point in Graphics Subsystem 120 and other graphics data processing elements within Graphics Subsystem 120 may not be configured to read stencil data. Heretofore, for Texturer 155 or Geometry Processor 140 to process stencil data written by Raster Operation Unit 165, Host Processor 114 read and formatted such data to produce data formatted for input to Texturer 155 or Geometry Processor 140 consuming performance dependant bandwidth between Host Computer 110 and Graphics Subsystem 120. Therefore, it would be desirable and useful to increase flexibility for data re-use by a graphics subsystem. Additionally, it would be desirable and useful to improve system level performance by providing data re-use with less dependence on such performance dependent bandwidth.

SUMMARY OF THE INVENTION

New systems and methods for the processing of graphical data are disclosed. The systems include a graphics data-processing pipeline configured to generate stencil data that can be used as input to a subsequent pass through the graphics data-processing pipeline. In various embodiments, the stencil data is generated and stored in a format suitable as an input to a fragment processor having characteristics of a texturer or shader. For example, in some embodiments, stencil data is saved in a texture data format. Stencil data may, therefore, be manipulated using techniques that were conventionally restricted to texture data. For example, in some embodiments stencil data is rendered in a first pass through the graphics data-processing pipeline and then used by the fragment processor in a second pass.

A computing system includes an interface configured to receive graphics data, a graphics data-processing pipeline configured to process the graphics data to generate stencil data, the graphics data-processing pipeline including a raster analyzer configured to output the stencil data and local memory configured to store the stencil data in a format that can be read by a fragment processor.

A graphics subsystem includes a fragment processor configured to read stencil data, a shader program configured to execute on the fragment processor and to specify a stencil operation and a raster analyzer configured to execute the stencil operation specified using the stencil data.

A method of processing stencil data including rendering stencil data using a graphics subsystem to produce rendered stencil data. The rendered stencil data is written to a local memory and the rendered stencil data is stored in the local memory using a format that can be read by a fragment processor.

A method of processing graphics data including reading stencil data from local memory using a fragment processor to obtain read stencil data. The read stencil data is processed responsive to a shader program to produce processed stencil data and a stencil operation is applied to fragment data or pixel data, using the processed stencil data.

A graphics subsystem including a means for rendering stencil data using a graphics data-processing pipeline to produce rendered stencil data, a means for writing the rendered stencil data to a local memory and a means for storing the rendered stencil data in the local memory using a format that can be read by a fragment processor.

A computing system including a means for reading stencil data using a fragment processor to obtain read stencil data, a means for processing the read stencil data responsive to a shader program to produce processed stencil data and a means for applying a stencil operation to fragment data or pixel data, using the processed stencil data.

BRIEF DESCRIPTION OF THE VARIOUS VIEWS OF THE DRAWING

Accompanying drawing(s) show exemplary embodiment(s) in accordance with one or more aspects of the present invention; however, the accompanying drawing(s) should not be taken to limit the present invention to the embodiment(s) shown, but are for explanation and understanding only.

FIG. 1 is a block diagram illustrating a prior art general computing system;

FIG. 2 is a flow chart illustrating a prior art method of image rendering using the general computing system of FIG. 1;

FIG. 3 is a flow chart illustrating an advanced prior art method of image rendering;

FIG. 4 is a block diagram of an exemplary embodiment of a computing system including a host computer and a graphics subsystem;

FIG. 5 is an illustration of exemplary embodiments of a method of graphics data processing utilizing the system illustrated in FIG. 4;

FIG. 6 is a flow diagram of an exemplary embodiment of a method that utilizes the invention's abilities to perturb vertex data prior to conversion to pixel data and to pass data generated in a graphics data-processing pipeline to a programmable data processor;

FIG. 7 is a block diagram of an exemplary embodiment of a graphics subsystem including a graphics data-processing pipeline comprising three programmable processors configured in series;

FIGS. 8A through 8C are diagrams depicting exemplary perturbations of vertex data, such as may occur in an apply vertex perturbation step of FIG. 5;

FIGS. 8D and 8E are diagrams depicting exemplary recursive hierarchical displacement mapping computed using the graphics subsystem of FIG. 4;

FIG. 9 is a flow diagram of exemplary embodiments of a method whereby results generated in one pass through the processing pipeline are used to perturb vertex data in a second pass;

FIG. 10 is a flow diagram of an exemplary method of generating stencil data according to various embodiments of the invention; and

FIG. 11 is a flow diagram of an exemplary method of using stencil data according to various embodiments of the invention.

DISCLOSURE OF THE INVENTION

Embodiments of multi-pass data-processing systems and methods are applicable to graphics applications, such as those described herein, and are also applicable to other multi-pass data-processing applications in which a processing pipeline is used to perform discrete operations on a data set.

FIG. 4 is an illustration of a Computing System generally designated 400 and including a Host Computer 110 and a Graphics Subsystem 410. As described with reference to FIG. 1, Host Computer 110 may be a personal computer, laptop computer, server, game system, computer-based simulator, cellular telephone or the like. Host Computer 110 communicates with Graphics Subsystem 410 via External Bus 115 and an Interface 417. Data received by Graphics Subsystem 410 is managed by Memory Controller 420 which may for example be configured to handle data sizes in range from 8 to more than 128-bits. For example, in one embodiment, Memory Controller 420 is configured to receive 64-bit data through interface 417 from a 64-bit External Bus 115. In this embodiment, the 64-bit data is internally interleaved to form 128 or 256-bit data types. In some embodiments, Graphics Subsystem 410 is disposed within Host Computer 110.

Data received at Interface 417 is passed to a Geometry Processor 430 or a Local memory 440 through Memory Controller 420. Geometry Processor 430 is a programmable unit, capable of performing vector fixed or floating-point operations, or other processing device configured to receive a stream of program instructions and data. Geometry Processor 430 is configured to receive input vertex data from Host Computer 110 and processed vertex data generated in a graphics data-processing pipeline, as described further herein.

Geometry Processor 430 is configured to pass processed data, such as a vertex data output, to a Resampler 450. Resampler 450 may be configured to perform rasterization similar to prior art Rasterizer 150 (FIG. 1). However, some embodiments of Resampler 450 are configured to produce and output vertex data. In these embodiments, Resampler 450 samples vertex data, forming new primitives such as triangles, such that a new set of vertices (internal to each resampled, or rasterized primitive) is generated with a modified sample density or using a procedurally generated surface that is not necessarily a planar primitive. For example, in some embodiments, Resampler 450 is configured to generate vertices on a mesh internal to a triangular or quadrangular Bezier or non-uniform rational B-spline (NURBS) patches. In these embodiments, Resampler 450 typically operates on a set of input vertices describing a primitive and generates new samples covering the internal surface of the primitive.

In various embodiments, Resampler 450 is configured to map a transformed polygon (or other type of geometry primitive) to memory locations, the memory locations corresponding to an “area” of the polygon in a two-dimensional memory. In some embodiments Resampler 450 processes and stores data, such as in Local Memory 440, in a variety of data formats. For example, in one embodiment a Graphics Data-processing Pipeline 476 operates as an OpenGL® pipeline wherein (1) the plurality of two dimensional memory structures includes a color buffer and a depth buffer; (2) the memory locations represent pixels; and (3) the “area” is a set of pixels representative of an area in a flat plane onto which the polygon is projected. However, embodiments of the invention are not limited to OpenGL® architectures and other well-known architectures. Furthermore, though Graphics Data-processing Pipeline 476 is shown, elements of such Pipeline 476 may be a multi-processor configuration instead of the pipeline architecture depicted.

Resampler 450 is configured to resample primitives composed of a set of vertices (polygons) onto an abstract two or three-dimensional space, such as a two-dimensional parameter space across an otherwise curved surface. Resampled data is stored into an array of memory locations and may include a wide variety of numerical formats, including packed data types, variant records, fixed and floating-point data types and the like. In some embodiments, Resampler 450 may generate different data types on subsequent passes through the Graphics Data-processing Pipeline 476, such as in response to user specified vertex programs, shader programs, or the like. For example, in a first pass Resampler 450 may generate an initial set (“new”) of vertex data at a different sampling density than the original vertex data input to Geometry Processor 430. The new vertex data is optionally generated in a format compatible with Geometry Processor 430 such that it may be used as input to Geometry Processor 430 in a second pass through Graphics Data-processing Pipeline 476. In the second pass, Resampler 450 is used to sample the new vertex data and optionally produce resulting pixel or fragment data.

Output of Resampler 450 is coupled to a Fragment Processor 455. Fragment Processor 455 is programmable to perform at least the functions of texturing, shading and generating a fragment processor output. However, in addition to texturing and shading, Fragment Processor 455 is configured to operate on vertex, fragment, stencil, pixel or other data, responsive to shader program instructions. Thus, Fragment Processor 455 is user programmable with respect to data type, where program instructions for example may be provided using an application program interface (API) in conformity with one of the above-mentioned well-known architectures. For example, mapping techniques, such as multiple levels of detail (LOD), may be applied to vertex data in various embodiments of Fragment Processor 455.

Data processed by Fragment Processor 455 is passed to a Raster Analyzer 465 that is configured to perform well-known raster operations, such as stencil buffering, blending, and logic operations, among other known raster operations for pixels, and optionally save the result in Local Memory 440. Fragment Processor 455 generates pixel data, such as color and depth, or processed vertex data as output. Fragment Processor 455 processed vertex data is provided to Raster Analyzer 465. Output of Raster Analyzer 465 is compatible. (e.g., can be accepted as input to and processed by) with Geometry Processor 430, and may be stored in Local Memory 440. The precision of data generated by Graphics Data-processing Pipeline 476 need not be reduced for storage in Local Memory 440. For example, in various embodiments, the output of Raster Analyzer 465 is data represented in 32, 64, 128, 256-bit or higher precision, fixed or floating-point formats. Data may be written from Raster Analyzer 465 to Local Memory 440 either through multiple write operations or through an Internal Bus 470 more than eight bits wide. For example, in one embodiment Raster Analyzer 465 outputs 128-bit floating-point data to Local Memory 440 using four write operations.

In various embodiments, Memory Controller 420, Local Memory 440, or Geometry Processor 430 are configured such that data generated at various points within Graphics Data-processing Pipeline 476 can be provided to Geometry Processor 430 as input. For example, in some embodiments, the output of Raster Analyzer 465 is transferred along a Data Path 475. Data path 475 may or may not include passage through Local Memory 440. For example, as output of Raster Analyzer 465 may include floating-point data types, such output data may be passed to Geometry Processor 430 and reprocessed. Thus, this multi-pass data processing is not subject to precision loss as initial, interim and resultant data may be passed through portions of Graphics Data-processing Pipeline 476 and stored in Local Memory 440 without loss of precision.

When processing is completed, an Output 485 of Graphics Subsystem 410 is provided using an Output Controller 480 such as conventional Scanout 160 of FIG. 1. Output Controller 480 is optionally configured to deliver output to a display device, network, electronic control system, other Computing System 400, Graphics Subsystem 410, or the like. Output Controller 480 may perform format conversion, for example, converting 32-bit floating-point numbers to 8-bit fixed point for input to a digital-to-analog converter. In one embodiment Output Controller 480 provides floating-point vertex data to a Graphics Subsystem 120 or another Graphics Subsystem 410. In these embodiments, Local Memory 440 is optionally shared by several Graphics Data-processing Pipelines 476. Thus, a second Graphics Data-processing Pipeline 476 may be used to perform a second data-processing pass.

In some embodiments, Geometry Processor 430 and Fragment Processor 455 are optionally programmable to perform a variety of specialized functions. In graphics applications these functions may include table lookups, scalar and vector addition, multiplication, division, coordinate-system mapping, calculation of vector normals, tessellation, calculation of derivatives, interpolation, and the like. In general applications, such as those not involving graphical data, these functions may also include regression, extrapolation, derivative calculation, integration, summation, cross-product calculations, matrix manipulation, encryption/decryption, correlation, multiplexing and Fourier and other transforms, among others. Geometry Processor 430 and Fragment Processor 455 are optionally configured such that different data-processing operations are performed in subsequent passes through Graphics Data-processing Pipeline 476. In alternative embodiments, Geometry Processor 430 and Fragment Processor 455 encompass Resampler 450 and Raster Analyzer 465, respectively.

FIG. 5 illustrates an exemplary embodiment of graphics data processing utilizing the system illustrated in FIG. 4. The methodology described is specific to the manipulation of graphics data but includes principles applicable to other applications. Generally, the method includes processing data using more than one pass through Graphics Data-processing Pipeline 476 of FIG. 4. During each pass, different operations may be performed on the graphics data.

In a Receive Data Step 510, geometry data is received from external memory such as Host Memory 112. The geometry data typically includes vertex data representative of three-dimensional geometrical positions and normals in object space (e.g. Pg, Ng), and texture coordinates in parameter space (e.g. u, v) that may be used as indices to access a data array such as a color or texture map. The received data is passed to Geometry Processor 430 wherein an optional Setup Step 520 is performed.

Setup Step 520 includes calculation of parameters, such as gradients, depth and object orientation, relating to a specific viewpoint. Such parameters are typically used for rasterization. Setup Step 520 may also include generation of vertex data if the received geometry data includes high-order primitives such as NURBS surfaces, Bezier patches, subdivision surfaces, or the like. In some embodiments, generation of vertex data includes further tessellation of triangles, quadrilaterals, polygonal meshes, or other primitives. Setup Step 520 may be done using Geometry Processor 430. Following Setup Step 520, the vertex data is passed through Resampler 450 to Fragment Processor 455. In some embodiments Setup Step 520 is delayed until a second pass through Graphics Data-processing Pipeline 476. In these embodiments, the geometry data received in Receive Data Step 510 is passed through Geometry Processor 430 without calculation of parameters related to viewpoint.

In an Apply Vertex Perturbation Step 530, Fragment Processor 455 perturbs the vertex data it receives. Apply Vertex Perturbation Step 530 is an operation on vertex data rather than on fragment data. In various embodiments, this operation includes the application of functions such as smoothing, displacement, and scaling. For example, in some embodiments linear displacement is applied to a subset of the vertices. The displacement may be in the direction of a fixed vector, along surface normal vectors (geometric normals, N_(g)), or normal to a two or three-dimensional curve. The subset of vertices is optionally determined using a two or three-dimensional map or analytical function applied to the vertices. For example, in one embodiment a height field, represented as a two-dimensional map, is applied to displace the vertices along a common vector by an amount specified by the height field. In another example, wherein an analytical function is applied, the subset of vertices consists of vertices having a certain feature, such as vertex density or curvature range. In one embodiment the analytical function results in a displacement responsive to surface curvature. In Apply Vertex Perturbation Step 530, surface geometry is changed rather than merely altering surface appearance using shading.

In some embodiments, Apply Vertex Perturbation Step 530 includes use of values retrieved from a predefined two-dimensional or three-dimensional lookup table stored in Local Memory 440. The lookup table may include several sets of data intended for use at different image or object resolutions (e.g., level of detail). In one embodiment, this table is the map containing a height field as discussed above. In an operation, optionally including the same lookup processes as prior art Process Fragments Step 240 (FIG. 2), data is read from the lookup table and mapped to or projected onto an object surface. The modifications of Apply Vertex Perturbation Step 530 are performed using Fragment Processor 455 and are applied to vertex data rather than fragment data. In this operation Fragment Processor 455 operates on vertices, for example to tessellate, and thus Fragment Processor 455 does not operate on fragment data at all for this operation. For example, Fragment Processor 455 receives control points defining a bicubic patch and (s,t) height field indices from Resampler 450. A shader program executed by Fragment Processor 455 produces vertex data output representing vertices on the surface of the bicubic patch using the control points and map indices. The modifications applied in Apply Vertex Perturbation Step 530 may include the geometry perturbations described above rather than application of a color map or texture as occurs during conventional fragment shading.

Vertex perturbation in Apply Vertex Perturbation Step 530 is optionally responsive to the position and orientation of an object in world coordinates. For example, in some embodiments more than one lookup table is stored in Local Memory 440, each table having perturbation data appropriate for a specific final image resolution. In these embodiments, a lookup table is selected responsive to a depth parameter (such as associated with the object and the current point of view), a resolution of Output 485 (FIG. 4), or the orientation of a surface relative to the current point of view. In some embodiments data used for vertex perturbation is processed or pre-filtered before being used to modify vertices. For example, a magnitude of perturbation is optionally scaled responsive to the depth parameter. Thus, vertex perturbation may include perspective corrections. Further examples of vertex data perturbation are discussed below with reference to FIG. 8.

In an optional Store Data Step 540, the vertex data perturbed in Apply Vertex Perturbation Step 530 is stored in Local Memory 440 using Raster Analyzer 465. Storage takes place through Internal Bus 470 and Memory Controller 420 and may be performed so as to retain the full precision of the vertex data. For example, if Geometry Processor 430 and Fragment Processor 455 operate on the vertex data as a 128-bit floating-point data type, then 128-bit floating-point data are preferably stored in Local Memory 440. In some embodiments each datum is written using several write operations. In other embodiments several datum are written using a single write operation. Store Data Step 540 concludes a first pass through Graphics Data-processing Pipeline 476. The output of the first pass through Graphics Data-processing Pipeline 476 may be vertex data stored in Local Memory 440 or passed directly to Geometry Processor 430 for a second pass. Graphics Subsystem 410 is configured such that this vertex data can be passed through Graphics Data-processing Pipeline 476 more than once.

In a Transform Vector Data Step 550, the processed vertex data, having been passed through Graphics Data-processing Pipeline a first time, is received by Geometry Processor 430. Geometry Processor 430 can process data generated by other elements of Graphics Data-processing Pipeline 476 where such data generated, and optionally stored, is in an input compatible format for Geometry Processor 430. In Transform Vector Data Step 550 Geometry Processor 430 transforms the perturbed vertex data computed in the first pass from object space to normalized device coordinates (NDC) or world space. The vertex data is “setup” respective to the current orientation and viewpoint and rasterized to a fragment array using Resampler 450. In other embodiments, not including Store Data Step 540, vertex data is transferred from Raster Analyzer 465 to Geometry Processor 430 without being stored in Local Memory 440, such as by passing through Memory Controller 420.

The fragment data generated by Resampler 450 are modified in an optional Modify Fragments Step 560. This modification includes, for example, application of texture and shading to individual fragments, or the like. In a Store Pixel Data Step 570, Raster Analyzer 465 is used to write the fragment data to Local Memory 440 in a format that can be considered pixel data. Store Pixel Data Step 570 optionally includes storage of floating-point data types or fixed point data types, including data types of 32 bits or larger. The second pass through Graphics Data-processing Pipeline 476 is typically concluded with Store Pixel Data Step 570. In an optional Display Step 580, the data is displayed through Output Controller 480 to Output 485.

In an implementation of the method illustrated by FIG. 5, Geometry Processor 430 is used to perform at least two different operations (in steps 520 and 550) involving the manipulation of vertex data. The computational units within Geometry Processor 430 do not have to be substantially reconfigured to perform these operations. Likewise, Fragment Processor 455 is used to perform two operations (in steps 530 and 560) that may involve modification of data using values retrieved from a lookup table. Steps 530 and 560 are differentiated in that in Step 530 operations occur on vertex data and in Step 560 operations occur on fragment data. In the illustrated embodiments, efficiency is achieved by configuring Fragment Processor 455 to operate on vertex data as well as fragment data. One benefit of this implementation is that the graphics subsystem can be used to perform computations, such as displacement mapping, without Host Processor 114 (FIG. 1) intervening usage or using additional specialized hardware in Geometry Processor 430.

Each pass through Graphics Pipeline 476 does not necessarily involve use of every programmable processor. For example, in some embodiments, a specific programmable processor may be used on alternate passes. In some embodiments data may be directed through Graphics Data-processing Pipeline 476 more than two times or Graphics Data-processing Pipeline 476 may include more than two programmable processors, so that fewer passes would be required to generate the same image.

FIG. 6 illustrates an embodiment of a method that utilizes the ability of Graphics Subsystem 410 to process data using multiple passes through Graphics Data-processing Pipeline 476. In this embodiment, perturbed vertex data generated in a first pass through Graphics Data-processing Pipeline 476 is used as input to Geometry Processor 430 in the first step of a second pass. In this method, Steps 510 and 520 are first performed as discussed with reference to FIG. 5. A Store Data Step 610 is then performed prior to Apply Vertex Perturbation Step 530 so that this state of the data may later be retrieved. In Store Data Step 610, the vertex data is saved in Local Memory 440 with or without loss of precision. Steps 530 through 580 are then performed as described in relation to FIG. 5. Display Step 580 is followed by a Modify Perturbation Step 620 in which the lookup table, function or other data, used to perturb vertex data in Apply Vertex Perturbation Step 530, is altered such that the next application of Apply Vertex Perturbation Step 530 will generate a different result. When a subsequent image is to be displayed, the method returns to Apply Vertex Perturbation Step 530 where the new perturbations are applied to vertex data stored in Store Data Step 610. This process allows a surface geometry to be modified without repetition of Step 520 or retrieval of previously generated data from Host Memory 112 to reduce computation time. In some cases this is possible even if the object is moved relative to the viewpoint since the vertex data stored in Store Data Step 610 is optionally in object space. FIG. 6 illustrates an example wherein vertex data is altered to represent a different geometry and the new geometry is rendered for display, without retrieval of data from Host Memory 112.

In one embodiment, the method illustrated in FIG. 6 is applied to a graphical representation of a human face. A first vertex representation of the entire face is received from Host Memory 112 and vertex perturbations are repeatedly applied to simulate the movement of lips and eyes. Processing time is saved because geometry data representing the entire face, or even all segments of the geometry being perturbed, need not be repeated each time the geometry is changed. In some embodiments, the vertex perturbations are applied to the entire graphical representation.

Alternative embodiments of Graphics Subsystem 410 include more than two programmable data processors arranged in series or in parallel. These embodiments may also be configured to store intermediate results from each of the programmable data processors in Local Memory 440. FIG. 7 illustrates an alternative embodiment of Graphics Subsystem 410, designated 710, including a Graphics Data-processing Pipeline 477 including three programmable processors 455A, 430, 455B configured in series. Again, though a pipeline architecture is shown, programmable processors 455A, 430, 455B need not be configured in series but may be configured as a multi-threaded multi-processor architecture. Each programmable processor is optionally configured to read or write partially-processed (intermediate result) data to and from Local Memory 440. Interface 417 is configured to receive vertex data from Host Memory 112 and provide the data to a first Fragment Processor 455 designated 455A. Fragment Processor 455A is configured to perform Apply Vertex Perturbation Step 530 of FIG. 5. The perturbed vertex data is written to an embodiment of Geometry Processor 430 including Resampler 450 and configured for the execution of Transform Vector Data Step 550. A second Fragment Processor 455 designated 455B is configured to receive the transformed data and perform Modify Fragments Step 560. The alternative embodiment of Graphics Subsystem 410 illustrated in FIG. 7 is capable of performing the method of FIG. 5 using a single pass through Graphics Data-processing Pipeline 477.

FIGS. 8A through 8C illustrate perturbation of vertex data, such as may occur in Apply Vertex Perturbation Step 530 (FIG. 5). FIG. 8A shows an embodiment in which three vertices 810A–810C of a planar surface 815 are displaced into new positions 830A–830C describing a new non-planar surface 833. The perturbation of the three vertices 810A–810C optionally occurs along normal vectors 820A–820C of planar surface 815. In alternative embodiments, the displacement occurs in a direction other than that of the normals to a surface. This perturbation is accomplished using a displacement map optionally including a height field. Each of the displacement vectors 820A–820C is oriented in the same direction but has a length responsive to the height field. For example, in this embodiment, displacement vector 820B is longer than displacement vector 820A.

FIG. 8B illustrates an embodiment of vertex perturbation of a non-planar surface 814 in which displacement occurs in the direction dependent on characteristics of each vertex. In this case, displacement vectors 820A–820C are orientated along the normal vectors (N_(g)) associated with vertices 810A–810C, respectively. Vertices and displacement distances are selected using a displacement map having a height field. In alternative embodiments, the normal vectors used to determine the direction of displacement vectors are optionally derived from other surfaces, geometries, or vertex data.

FIG. 8C illustrates an embodiment of vertex perturbation in which displacement is made to a two-dimensional curve or three-dimensional surface. This example also shows how the density of vertices may be changed during perturbation by using the Resampler 450 to amplify geometry data (generating new data points that will correspond to vertices when fed back through Graphics Data-processing Pipeline 476 of Graphics Subsystem 430). Three co-planar vertices 810A–810C describing a triangle, perpendicular to the plane of the figure, are resampled into new data points 812A–812O internal to the triangular region. Each new data point 812A–812O, representing a vertex that will be fed back through Graphics Data-processing Pipeline 476, is displaced along corresponding normal vector 820A–820O to form a Curve 835. Each displaced data point 812A–812O results in a new vertex along curve 835. These vertices are associated with new geometric normals 840A–840O and represent a new surface which is no longer planar. This approach to vertex perturbation may produce a non-planar surface from a planar surface. The distance each data point 812A–812O is displaced may be determined, for example, from a lookup table, from an analytical function, or from Curve 835.

The generation of new vertex data, such as vertices 812A–812O illustrated in FIG. 8C, may be accomplished using Resampler 450 to generate new data inside planar primitives (flat triangles or quadrilaterals). Since new vertices generated internal to the rasterized primitive are sent back through Graphics Data-processing Pipeline 476 and are interpreted in a subsequent pass as vertices, Graphics Data-processing Pipeline 476 generates vertices or performs tessellation of the input primitive using Geometry Processor 430. In addition to tessellating flat primitives, Graphics Data-processing Pipeline 476 can also tessellate higher-order surfaces, such as Bezier and NURBS patches, by evaluating the corresponding analytical expression determining the shape of the patch, when evaluating the position and normal for each generated vertex. This evaluation process is performed with a shader program that computes the corresponding function in Fragment Processor 455. Fragment Processor 455 is then also used to apply a perturbation (displacement along the per-vertex geometry normal) to these new vertices as illustrated in FIGS. 8A through 8E. This perturbation displaces the new vertices out of the plane of vertices 810A–810C and to Curve 835.

In the paradigm described above, a curved object can have an abstract parameter space (u, v) placed on its surface. Polygons that approximate the shape of the curved surface are stored as a map, indexed by u and v, by the Geometry Processor 430, and the polygon vertices can be associated with independent surface normals. In a first pass of a two-pass method, when a polygon on the curved surface is resampled in the parameter space, a set of data points (fragments) are generated, and a process is performed on each fragment. The process displaces points on the curved surface (in the “flat” parameter space represented by a triangle or other polygon) to generate new points in the parameter space, which are then saved in Local Memory 440. In the second pass, since the new data points in parameter space can represent polygon vertices, the displaced points are read from the Local Memory 440, into the Geometry Processor 430, where they are transformed from the parameter space into world or object coordinates and then rendered as ordinary geometry (lighting, texturing, shading, etc.).

To render polygons represented by the displaced data points, surface normals are sometimes needed. These normals can be computed in the first pass and stored into Local Memory 440 along with the data points themselves. Hence, in one embodiment, the data records stored in a two-dimensional array of Local Memory 440, include a spatial data point (e.g., three 32-bit floating-point numbers for x, y, and z coordinates) and a surface normal vector (e.g., three 16-bit floating-point numbers for n_(x), n_(y), and n_(z) normal vector components). The above displacement mapping is but one example of the broader concept of saving arbitrary sets of mixed precision values from Raster Analyzer 465 into the Local Memory 440 and then reading the saved values in the Geometry Processor 430 in a subsequent pass.

The displacements illustrated by FIG. 8C represent hierarchical displacement mapping computed using Graphics Subsystem 410. The distinction between hierarchical displacement mapping and the simple displacement mapping illustrated by FIG. 8A, refers to the type of function (geometry) that can be generated. The displacement mapping illustrated by FIG. 8A involves single-valued functions that generate one new vertex for each original vertex. In contrast, recursive hierarchical displacement mapping can generate multi-valued functions wherein more than one new vertex is generated for each original vertex. The new vertices (geometry) may be generated and displaced responsive to normals or other functions at any point on a surface represented by the original vertices. Recursive hierarchical displacement mapping enables more flexibility in the generation of surfaces and objects than simple displacement mapping. For example, recursive hierarchical displacement mapping allows for greater geometric complexity based on simple geometry and maps, and simple geometry may be reused for multiple images without being resent by the host.

After either type of displacement mapping, each new vertex is optionally associated with a new geometric normal (N_(g)) 840A–840O (FIG. 8C), which can be used for shading or other well-known graphics processes. The new geometric normals 840A–840O, illustrated in FIG. 8C, are optionally calculated using four derivatives representative of finite differences between a vertex and the vertex's four nearest neighbor vertices. For example, in one embodiment, in addition to perturbing the original vertices, Fragment Processor 455 is used to calculate two of the derivatives associated with a first pair of the four nearest neighbors. This is accomplished, for example, by using standard DDX and DDY instructions (i.e., instructions determining the per-component rate of change of a source, such as for color, x, y, z, u and v, among other well-known graphics parameters, along X and Y on a display screen) in Fragment Processor 455. After the first two derivatives are calculated the vertex data is routed to the top of Graphics Data-processing Pipeline 476 for additional modification by Graphics Data-processing Pipeline 476. In this embodiment, Geometry Processor 430 applies a positional offset (i.e. one pixel in x and y) to the data so that, on the next pass through Fragment Processor 455, an identical derivative calculation will produce derivatives representative of differences between the current vertex and a second pair of the four nearest neighbors. In a third pass through Graphics Data processing Pipeline 476 Geometry Processor 430 uses the four derivatives to calculate the geometric normals.

FIGS. 8D and 8E, illustrate further examples of recursive hierarchical displacement. In these examples the process of displacing data points and vertex normals is applied recursively or hierarchically. In FIG. 8D, a flat surface 850 has associated vertices 855A–855K displaced along their geometric normals 856 to new positions 858A–858K in a manner similar to that described for FIG. 8A. FIG. 8E illustrates a second displacement to the same vertices from their new positions 858A–858K to third positions 859A–859K. To perform this second displacement Graphics Data-processing Pipeline 476 receives the new positions 858A–858K and associated normals as vertices in a subsequent pass. Different displacement maps or functions may also be used for the first and second displacements.

There are a variety of ways in which vertices are perturbed and new geometric normals (N) are calculated. In some embodiments new vertex positions (P) are calculated using P=P_(g)+D*N_(g) wherein P_(g) is an unperturbed vertex position, D is a displacement and N_(g) is the geometric normal of the unperturbed vertex. (These embodiments, wherein the displacement is in the direction of N_(g), are illustrated, for example, by FIG. 8B.) N is optionally calculated using a cross product as N=dPdu X dPdv, where dPdu=P(u+du, v)−P(u−du, v) and dPdv=P(u, v+dv)−P(u, v−dv). (“X” indicating cross-product.) Alternative embodiments, employing the systems of FIG. 4 and FIG. 7, are described further herein.

In one embodiment, static displacement mapping is accomplished by having geometric normals pre-computed in Host Computer 110 based on a displacement map. The pre-computed values make up a normal map and are stored as a two-dimensional array in Local Memory 440, accessible to elements of Graphics Data-processing Pipeline 476. In this embodiment the first pass through Graphics Data-processing Pipeline 476 is used to calculate the displaced position of each vertex and the second pass is used to look up the pre-computed normal from a normal map and render the data. In this embodiment, geometry is displaced by a shader program running on Fragment Processor 455 that reads the pre-computed normal for each vertex from the normal map rather than computing the normal for each vertex.

In one embodiment, dynamic displacement with hardware pixel derivatives is accomplished by Graphics Data-processing Pipeline 476 receiving vertex position (P_(g)), vertex normal (N_(g)), and vertex texture coordinates (u, v) as input to the first pass. The first pass includes mapping u, v to NDC x, y, and computing the displacement (D) using a (u, v) texture lookup on the displacement map or by evaluating a displacement function. A new vertex position (P) is computed using P=P_(g)+D*N_(g). Derivatives dPdx and dPdy, corresponding to dPdu and dPdv, are computed and these values are used to determine a new normal (N) by taking the average of the cross product of derivatives associated with each vertex. Output of the first pass can include D and N as four floating-point values. In this embodiment, the second pass receives D and N as input to Geometry Processor 430, which, together with P_(g) is used to compute P=P_(g)+D*N_(g) and renders the displaced scene using P and N. In dynamic displacements, in contrast to normals received with vertex data from Host Computer 110 or read from a map, the normal is calculated using derivatives, associated with pixel data, and a shader program running on Fragment Processor 455, after the positions are displaced in image space. This embodiment is an example wherein geometry is displaced by a first pass through Fragment Processor 455 and normals are recomputed on the fly. Dynamic displacements may be rendered entirely on the Graphics Subsystem 410 without intervention by Host Computer 110 between passes through Graphics Data-processing Pipeline 476.

In one embodiment, dynamic displacements with corrected hardware pixel derivatives are accomplished by having the first pass receive P_(g) and N_(g) as input, mapping u, v to x, y, and computing D, P, dPdx and dPdy. Wherein dPdx=P(x+dx, y)−P(x−dx, y), etc. The D, dPdx and dPdy values are packed into 128-bits of data. In the second pass Pg and Ng are received as input, u and v are mapped to x−1 and y−1, D₂ and P₂ are calculated, and dP₂dx and dP₂dy are packed into 96 bits which are provided as a second output. In a third pass, the calculated dPdx, dPdy, dP₂dx and dP₂dy are received as input and the new normal N is calculated using N=(dPdx+dPdy)X(dP₁dx+dP₂dy). (“X” indicating cross-product.) Finally, an image of the displaced scene is rendered using P and N. In this embodiment, the first and second passes are optionally combined by sending a copy of P_(g) and N_(g) to two different regions of Local Memory 440 and operating on both regions in each pass.

In one embodiment, dynamic displacements with improved pixel derivatives is accomplished by having the first pass through Graphics Data-processing Pipeline 476 receive as input vertex data as a tripled vertex stream: P_(g) and N_(g)(u, v), P_(g) and N_(g)(v+du, v), and P_(g) and N_(g)(u, v+dv). Wherein, N_(g)(u, v) refers to the normal vector at vertex u, v on the pre-displaced surface. The first pass is used to first compute D and P(u,v), D₂ and P₂(u±du,v), and D₃ and P₃(u, v±du), and then to compute dPdx+P₂−P and dPdy+P₃−P and N. Output of the first pass includes D and N. In the second pass, D and N are received as input and P is calculated using P=P_(g)+D*N_(g). Output of the second pass includes rendering of P and N.

In one embodiment, dynamic displacements with derivatives from texture is accomplished by having Graphics Data-processing Pipeline 476 receive P_(g) and N_(g) as vertex data input in a first pass. D and P are calculated using Fragment Processor 455 and P is written as output to a table, such as a texture map indexed by u and v. In the second pass, N is calculated using (P(u+du, v)−P(u−du, v))X(P(u, v+dv)−P(u, v−dv)) and provided as a second output. The four values of P are looked up using the texture map indexed by u and v. A third pass receives P and N as input and generates a rendering of P and N as an image.

FIG. 9 illustrates exemplary embodiments of a method utilizing wherein results generated in one pass through the Graphics Data-processing Pipeline 476 are used to perturb vertex data in a second pass. In these embodiments, steps 510 and 610 are performed as described with reference to FIGS. 5 and 6. In one embodiment, Store Data Step 610 includes storage of first vertex data representing a first surface in an indexed table which may be stored in Local Memory 440. After Storage Data Step 610, additional geometry data is received from Host Computer 110 in a Receive Second Data Step 910. The additional geometry data includes second vertex data representing a second surface.

The second vertex data is perturbed in an Apply Vertex Perturbation Step 920. In some embodiments, Apply Vertex Perturbation Step 920 is performed using Fragment Processor 455 (FIG. 4) and the vertex data is stored in a Store Second Data Step 930. In Apply Vertex Perturbation Step 920, characteristics of the first surface are imparted to the second surface by using information within the first vertex data to perturb the second surface. The information used may include, for example, normal vectors used to determine the direction of second vertex perturbation, vertex positions used to determine the direction or distance of second vertex perturbation, or the like. Apply Vertex Perturbation Step 920 may be differentiated from Apply Vertex Perturbation Step 530 in that the former uses previously received (in Receive Data Step 510) vertex data to characterize the perturbation. In one embodiment (u, v) values, associated with the first vertices, are used to look up data for determining aspects of the second vertex perturbation. The first vertex data is applied as a “texture” to the second vertex data. In these embodiments, use of one set of vertex data to perturb a second set is possible because Fragment Processor 455 is configured to receive vertex data as both vertex and “texture” input. In steps Store Second Data 930 and Display Data 940 the perturbed second vertices are optionally saved and optionally rendered and displayed.

In one embodiment of the method illustrated by FIG. 9, Store Data Step 610 includes saving vertex data to a lookup table configured for mapping or projection on to other surfaces. The lookup table may be stored in Local Memory 440. The lookup table optionally includes several different data sets, having differing data density, for use when the mapping or projection requires different resolutions or perspective corrections. One data set is optionally used for mapping to one surface while a higher density data set is used for mapping to a higher resolution surface.

New systems and methods for the processing of stencil data rather than or in addition to vertex, pixel, or fragment data are disclosed. For example, in some embodiments, Graphics Subsystem 410 or 710 are configured to write, read and otherwise manipulate stencil data using techniques conventionally used to write, read and otherwise manipulate texture data. In some of these embodiments, stencil data is optionally rendered in a first pass through Graphics Data-processing Pipeline 476 and read by Fragment Processor 455 in a second pass through Graphics Data-processing Pipeline 476. In other embodiments, stencil data is optionally rendered and used in a single pass through Graphics Data-processing Pipeline 477. The read stencil data is optionally manipulated by Fragment Processor 455 responsive to a shader program.

In various embodiments Graphics Data-processing Pipelines 476 and 477 illustrated in FIGS. 4 and 7 are configured to operate on stencil data. In these embodiments, Graphics Data-processing Pipelines 476 and 477 receive the stencil data from other parts of Computing System 400 or generates (e.g., renders) the stencil data from other graphics data. For example, in some embodiments, Geometry Processor 430 receives graphics data from Host Computer 10 through Interface 417. Geometry Processor 430 and Resampler 450 are used to generate fragment data representative of a specific viewpoint. This fragment data is mapped to stencil data using Fragment Processor 455 and the rendered stencil data is written to Local Memory 440 by Raster Analyzer 480.

In some embodiments, Raster Analyzer 480 is configured to write stencil data to Local Memory 440 in a format that can be read by a shader such as Fragment Processor 455. For example, Raster Analyzer 480 is optionally configured to output stencil data in a texture data format. Stencil data in this format can be read from Local Memory 440 by an element of Graphics Data-processing Pipeline 476 or 477 configured to read texture data. Raster Analyzer 480 is also optionally configured to output stencil data of various data sizes. For example, in one embodiment, Raster Analyzer 480 is configured to write 1 bit or 8 bit (per pixel) stencil data to a texture data format. When writing to a texture data format, Raster Analyzer 465 is configured to pack or unpack the stencil data as needed to properly map to the texture data format.

Fragment Processor 455 is configured to read stencil data from Local Memory 440. In some embodiments, this stencil data is read as a texture and Fragment Processor 455 is further configured to perform operations on the stencil data. For example, in some cases, the stencil data includes depth information. In these cases, Fragment Processor 455 is optionally configured to separate the depth information from the rest of the stencil data such that the remaining stencil data can be manipulated independently from the depth data. Additionally, Fragment Processor 455 is optionally configured to read color and alpha data from Local Memory 440 and process the color and alpha data.

In various embodiments of the invention Fragment Processor 455 is responsive to a shader program. This shader program is optionally configured to perform shading operations such as discussed in reference to Modify Fragments Step 560 (FIG. 5). In addition, this shader program includes commands for operating on the read stencil data or includes commands used to specify a stencil operation to be performed using Raster Analyzer 465. In addition, in some embodiments, the shader program includes commands configured to perform extrapolation or interpolation of stencil data, sum or difference operations between several sets of stencil data, time dependent stencil data operations, operations to change the level of detail in stencil data, or the like. These operations are optionally performed on Fragment Processor 455. Other operations, such as increment, decrement, wrap, keep, replace, zero, invert, or the like, are optionally specified by the shader program for execution using Raster Analyzer 465. Thus, in some embodiments of the invention, a shader program executed on Fragment Processor 455 is configured to specify the stencil operations to be performed by Raster Analyzer. Operations performed by Fragment Processor 455 on the stencil data are optionally responsive to depth information included in the stencil data. In other embodiments, the shader program executed on Fragment Processor 455 is also configured to specify shading operations using color or alpha data.

FIG. 10 illustrates an exemplary method of generating stencil data utilizing the system illustrated in FIG. 4. In a Receive Graphics Data Step 1010, graphics data is received from Host Computer 110 via Interface 417. In some embodiments this data is stored in Local Memory 440 prior to processing by Geometry Processor 430 and Resampler 450. As described elsewhere herein, Geometry Processor 430 is configured to process geometry data responsive to a specified point of view and, in conjunction with Resampler 450, generate pixel data or fragment data.

In a Render Stencil Data Step 1020, stencil data is produced using the geometry data received in Receive Graphics Data Step 1010. In Render Stencil Data Step 1020, Geometry Processor 430 and Resampler 450 are optionally used to generate pixels or fragments using the graphics data received in Receive Graphics Data Step. Use of Geometry Processor 430 and Resampler 450 to generate pixels or fragments is not required when the graphics data is already in a suitable (e.g., stencil) format. The pixels or fragments are rendered to stencil data using Fragment Processor 455. The generated stencil data optionally includes versions having different levels of detail or depth information. Alternatively the pixels or fragments are also rendered to color or alpha data, optionally including versions having different levels of detail.

In a Write Stencil Data Step 1030 Raster Analyzer 465 is used to write the rendered stencil data to Local Memory 440. In a typical embodiment, the data is written in a texture format. In some embodiments, the data written includes multiple levels of detail. In some embodiments the data written includes multiple sets of stencil data generated from the same geometry data received in Receive Graphics Data Step 1010, each set being rendered responsive to a different view point. In some embodiments the data written by Raster Analyzer 465 includes one or more sets of color or alpha data generated from the same geometry data received in Receive Graphics Data Step 1010.

In a Store Stencil Data Step 1040 the stencil data written in Write Stencil Data Step 1030 is stored in Local Memory 440. In some embodiments the color or alpha data written by Raster Analyzer 465 is stored in Local Memory 440. The storage may be in a variety of alternative formats, including texture data formats. In some embodiments, the rendered texture data is transferred from Local Memory 440 to Host Memory 112 via Interface 417.

FIG. 11 illustrates a method of using stencil data according to various embodiments of the invention. In a Read Stencil Data Step 1110, stencil data is read from Local Memory 440 by Fragment Processor 455. In some embodiments, the stencil data is formatted and read as a texture map. Thus, the stencil data is optionally read using a “read texture” operation of Fragment Processor 455. In some embodiments color or alpha data is also read by Fragment Processor 455 from Local Memory 440. The reading process is optionally responsive to a shader program executed on Fragment Processor 455.

In a Process Stencil Data Step 1120, the stencil data is optionally processed using Fragment Processor 455. Additionally color or alpha data is optionally processed using Fragment Processor. In some embodiments, processing is responsive to the shader program. The processing of the stencil data may include, for example, changes in level of detail, interpolation, extrapolation, spatial translation, and the like. For example, in some embodiments the processing includes averaging, addition or difference operations between two sets of stencil data. Upon completion of Process Stencil Data Step 1120 the stencil data is provided to Raster Analyzer 465. The processing of the color or alpha data may include blending operations known in the art to produce processed color or alpha data. The processed color or stencil data is provided to Raster Analyzer 465.

In a Perform Stencil Operation Step 1130, Raster Analyzer 465 and the stencil data received from Fragment Processor 455 are used to perform stencil operations on graphics data. The graphics data may include the processed color or alpha data. These operations include, for example, increment, decrement, wrap, keep, replace, zero, invert, or the like. In some embodiments the shader program is used to specify the stencil operation performed using Raster Analyzer 465. In these embodiments the stencil operation is optionally specified responsive to characteristics of the graphics data or the stencil data. For example, the stencil data may control whether parts of the geometry will be shaded, shadowed, or not sent down to other elements in Graphics Data-processing Pipeline 476 or 477.

In some embodiments of the invention, read and write operations to Local Memory 440 include mechanisms configured to prevent errors resulting from simultaneous operations on the same memory. For example, in some embodiments, simultaneous read and write operations are avoided by setting a flag before writing to memory. When this flag is set all read operations from the affected memory are temporarily halted. When the write operation is completed the flag is cleared and pending operations are resumed. A flag may control operations on a single memory block or an entire frame buffer.

In various embodiments, read and write operations controlled by the flag involve vertex data, pixel data, fragment data, or stencil data. For example, write operations, from Raster Analyzer 480 to Local Memory 440, optionally include writing of vertex data, writing of pixel data, writing of fragment data or writing of stencil data. Read operations performed by Fragment Processor 455 optionally include reading of vertex data, pixel data, fragment data, or stencil data, in a texture format. In some embodiments, the read operation includes reading of vertex data, pixel data, or fragment data from Local Memory 440 by Geometry Processor 430.

Several embodiments are specifically illustrated or described herein. However, it will be appreciated that modifications and variations are covered by the above teachings and within the scope of the appended claims without departing from the spirit and intended scope thereof. For example, in alternative embodiments, the methods illustrated by FIGS. 10 and 11 are performed using the systems illustrated by FIG. 7. In some embodiments, systems and methods of the invention are optionally adapted to process other types of data. In these embodiments stencil data are replaced by other scalar data to be processed, re-processed, resampled, or otherwise manipulated.

While foregoing is directed to embodiments in accordance with one or more aspects of the present invention, other and further embodiments of the present invention may be devised without departing from the scope thereof, which is determined by the claims that follow. Claims listing steps do not imply any order of the steps unless such order is expressly indicated.

All trademarks are the respective property of their owners.

OpenGL is a registered trademark of Silicon Graphics, Inc. 

1. A computing system comprising: local memory configured to store graphics data including input vertex data describing a primitive; and a graphics subsystem having a programmable processing pipeline including a geometry processor configured to receive the input vertex data from a host computer and processed vertex data from the graphics pipeline and a resampler for operating on the set of input vertices and generating new samples covering an internal surface of the primitive, and a fragment processor with an interface configured to receive the graphics data from the local memory, the fragment processor being further configured to change surface geometry of the stencil data the processing pipeline being configured to process the received graphics data to generate stencil data, the processing pipeline further configured to output the stencil data to the local memory; wherein the local memory includes a stencil buffer for storing the stencil data in any one of a plurality of data formats as defined by the resampler in a texture data format after processing by the fragment processor; and the fragment processor being further configured to alternatively return the processed data directly to the geometry processor.
 2. The computing system of claim 1, wherein the processing pipeline is programmed with a shader program configured to specify stencil operations to be performed using the stencil data read by the fragment processor.
 3. The computing system of claim 1, wherein the fragment processor is programmable.
 4. The computing system of claim 1, wherein the read stencil data includes depth data.
 5. The computing system of claim 4, wherein the shader program is configured to separate the depth data.
 6. The computing system of claim 1, further comprising a host computer.
 7. The computing system of claim 1, wherein the fragment processor is configured to read color data or alpha data from local memory.
 8. The computing system of claim 7, wherein the shader program is configured to specify blending operations to be performed using the color data or the alpha data.
 9. The subsystem of claim 1, wherein the set of input vertices is subjected to linear displacement.
 10. The subsystem of claim 9, wherein the displacement may be in the direction of a fixed vector, along surface normal vectors or normal to a curve.
 11. A graphics subsystem comprising: a local memory for storing stencil data; a programmable graphics processor pipeline having a fragment processor configured to read stencil data from the local memory including a stencil buffer, the fragment processor being further configured to change surface geometry of the stencil data; and means for programming the programmable graphics processor with a shader program configured to specify a stencil operation to be performed on the read stencil data by the programmable graphics processor; wherein the programmable graphics processor includes a raster analyzer configured to execute the stencil operation wherein the stencil data is generated using at least one of the fragment shader and the raster analyzer and wherein the processed stencil data is returned to the graphics pipeline as an input to the fragment processor.
 12. The graphics subsystem of claim 11, wherein the local memory is further for storing depth data, and wherein the fragment processor is configured to read only the stencil data from the local memory.
 13. The graphics subsystem of claim 11, wherein the read stencil data is formatted as texture data.
 14. The graphics subsystem of claim 11, wherein the fragment processor is configured to read stencil data of various data sizes.
 15. The graphics subsystem of claim 11, wherein the stencil data includes multiple levels of detail.
 16. The graphics subsystem of claim 11, wherein the stencil operation includes at least one of increment, decrement, wrap, keep, replace, zero and invert.
 17. The graphics subsystem of claim 11, wherein the shader program is configured to perform an operation on the stencil data, the operation being at least one of interpolation, extrapolation, calculation of derivatives, multiplication, division, addition, subtraction, modification of level of detail, and determination of sums or differences between two sets of stencil data.
 18. The graphics subsystem of claim 11, wherein the fragment processor is configured to execute operations using depth data.
 19. The graphics subsystem of claim 11, wherein the fragment processor is configured to read color data or alpha data from a local memory.
 20. The graphics subsystem of claim 19, wherein the fragment processor is configured to execute operations using the color data or the alpha data.
 21. A method of producing rendered stencil data, based on multiple passes through a programmable pipeline included in a graphics subsystem, processing stencil data comprising: rendering stencil data in accord with shader program instructions using a graphics subsystem having a programmable pipeline to produce rendered stencil data; receiving geometry data including vertex data from external memory in a geometry processor of the pipeline; perturbing the vertex data to change the surface geometry; writing the rendered stencil data to a local memory in accord with shader program instructions; storing the rendered stencil data in the local memory including a stencil buffer in accord with shader program instructions using a format that can be read by a fragment processor, processing the read stencil data in accord with shader program instructions using the fragment processor, wherein the shader program instructions are executed in the fragment processor; and returning the stencil data directly to the geometry processor for further processing.
 22. The method of claim 21, wherein the format is a texture format.
 23. The method of claim 21, wherein the writing of the rendered stencil data uses a raster analyzer to write the rendered stencil data.
 24. The method of claim 21, further comprising reading the stored stencil data using the fragment processor.
 25. The method of claim 24, further comprising executing the stencil operation, using a raster analyzer and the read stencil data.
 26. The method of claim 21, further comprising: programming a graphics subsystem having a programmable fragment pipeline that is configured to read data; using the fragment pipeline to read stored color or alpha data from a local memory; rendering the read color or alpha data using the graphics subsystem to produce rendered color or alpha data; and storing the rendered color or alpha data in the local memory.
 27. The method of claim 26, wherein the fragment processor is programmed to read color or alpha data.
 28. The method of claim 27, further comprising processing the read color or alpha data, using the fragment processor.
 29. The method of claim 21, further comprising calculation of parameters based on a specific view point of the vertex data prior to perturbing the data.
 30. The method of claim 29, wherein the calculation of parameters steps is performed after processing the data in the fragment processor.
 31. The method of claim 21, wherein perturbing the data includes perspective correction.
 32. The method of claim 21, wherein perturbing the data includes linear displacement.
 33. A method of processing graphics data in a processing pipeline including a fragment processor responsive to shader program instructions comprising: applying the graphics data to the fragment processor in the processing pipeline; processing the applied data in accord with shader program instructions to produce processed stencil data; applying a stencil operation to fragment data using the processed stencil data; and storing the resulting stencil data in the stencil buffer of the local memory; and reading stencil data stored as a texture map from local memory including a stencil buffer in accord with the shader program instructions for return to the fragment processor for further processing in the pipeline.
 34. The method of claim 33, wherein the stencil operation is applied by a raster analyzer.
 35. The method of claim 33, wherein the stencil operation is applied in accord with shader program instructions.
 36. The method of claim 33, wherein the stencil operation is applied on a per pixel basis.
 37. The method of claim 33, wherein the read stencil data includes depth information.
 38. The method of claim 37, further comprising separating the depth information out of the read stencil data.
 39. The method of claim 38, wherein separating the depth information is performed in accord with shader program instructions.
 40. The method of claim 33, further comprising generating stencil data and then storing the generated stencil data in the local memory as a texture map prior to reading stencil data.
 41. The method of claim 40, wherein the generated stencil data is generated in accord with shader program instructions.
 42. The method of claim 33, wherein the stencil data is read as texture data.
 43. The method of claim 33, wherein the fragment data includes at least one of color data, alpha data or depth data.
 44. The method of claim 33, wherein the further processing includes perturbing the data stored as a texture map. 